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Freelance Google Machine Learning Engineer Jobs in Arizona

MY DR NOW

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AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

... Machine Learning and Generative AI frameworks • Strong engineering fundamentals and problem-solving skills • A builder mindset -- curious, resourceful, fast-moving, and focused on outcomes ...

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Freelance Google Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as a Freelance Google Machine Learning Engineer, and why are they important?

To thrive as a Freelance Google Machine Learning Engineer, you need a solid background in computer science, statistics, and machine learning, typically supported by a relevant degree and experience with real-world data projects. Familiarity with Google Cloud Platform (GCP), TensorFlow, and certifications like Google Professional Machine Learning Engineer are commonly required. Strong problem-solving abilities, self-motivation, and effective client communication distinguish top freelancers in this field. These skills and qualifications are crucial for delivering robust machine learning solutions tailored to client needs and efficiently navigating remote, project-based work.

What does a Freelance Google Machine Learning Engineer do?

A Freelance Google Machine Learning Engineer is a technical specialist who designs, develops, and deploys machine learning models using Google’s tools and platforms, such as TensorFlow and Google Cloud AI services. They work independently or with clients to solve data-driven problems, build predictive models, and automate processes using machine learning techniques. Their responsibilities may include data preprocessing, feature engineering, model training and evaluation, and integrating models into production systems. Freelancers often manage multiple projects and must stay updated on the latest ML advancements and Google technologies.

What are some common challenges freelance Google Machine Learning Engineers face when working with clients remotely?

Freelance Google Machine Learning Engineers often encounter challenges such as clearly defining project scopes, aligning on deliverables, and managing expectations, especially when working remotely. Communication can be more complex due to time zone differences and varying levels of technical understanding among clients. Staying updated with Google’s latest ML tools and ensuring secure, efficient data sharing are also important. Building strong documentation and regular progress updates can help foster trust and smooth collaboration.

What is the difference between Freelance Google Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Google Machine Learning EngineerFreelance Data Scientist
CredentialsKnowledge of Google Cloud ML tools, programming skills in Python, TensorFlowStatistical expertise, programming in Python/R, data analysis skills
Work EnvironmentCloud platforms, AI/ML projects, collaboration with developersData analysis, reporting, model development, client communication
Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, marketing, research organizations

While both roles involve working with data and models, a Freelance Google Machine Learning Engineer specializes in deploying ML solutions on Google Cloud, focusing on AI/ML engineering tasks. A Freelance Data Scientist primarily analyzes data, builds statistical models, and provides insights. The roles overlap in skills but differ in focus and tools used.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Arizona? The most popular types of Google Machine Learning Engineer jobs in Arizona are:
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Freelance Google Machine Learning Engineer jobs near you
AI & Machine Learning Engineer

AI & Machine Learning Engineer

MY DR NOW

Chandler, AZ • On-site

$100K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

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MY DR NOW rating

7.1

Company rating: 7.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

MY DR NOW was built on a simple belief: healthcare should be ridiculously easy.

Making that happen at scale requires more than great providers - it requires world-class technology, intelligent systems, and the discipline to constantly improve how care is delivered.

AI is not an experiment here. We are using it today to remove friction, eliminate waste, improve patient access, support our teams, and build the infrastructure required to deliver healthcare differently.

We are looking for an AI/ML Engineer II who wants to build - someone who sees problems as opportunities, moves quickly from idea to execution, and wants their work to create real impact in the lives of patients and the people caring for them.

What You’ll Do

• Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI
• Build intelligent agents, RAG solutions, prompt workflows, and AI-driven automation
• Develop scalable Python applications, backend services, and enterprise integrations
• Optimize AI/ML models for real-world healthcare operations and patient care
• Write advanced SQL queries to transform healthcare data into actionable intelligence
• Collaborate with technology, operations, and clinical teams to rapidly deliver AI solutions
• Leverage tools like Claude Code, GitHub Copilot, Cursor, and emerging AI platforms to accelerate development
• Ensure solutions meet standards for security, scalability, performance, and HIPAA compliance
• Participate in Agile development, testing, code reviews, and CI/CD practices

What You Bring

• Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, or related field
• 2–3 years of experience building AI/ML or intelligent software applications
• Experience with healthcare technology, data, or workflows
• Strong Python and SQL skills
• Experience developing APIs and integrating enterprise applications
• Knowledge of Machine Learning and Generative AI frameworks
• Strong engineering fundamentals and problem-solving skills
• A builder mindset — curious, resourceful, fast-moving, and focused on outcomes

Preferred Experience

• Azure OpenAI, OpenAI APIs, Azure AI Services
• LangChain, LangGraph, Semantic Kernel, CrewAI
• AI Agents, MCP, Prompt Engineering, Function Calling
• RAG solutions and Vector Databases
• Microsoft Fabric, Azure Data Factory, Azure SQL
• TensorFlow, PyTorch, Scikit-learn, MLflow
• Epic Clarity, Epic Caboodle, FHIR, HL7
• Claude Code, GitHub Copilot, Cursor
• Git, Azure DevOps, CI/CD, Docker, Kubernetes

Company Description

MY DR NOW, the largest privately-held, privately-owned Primary Care Provider in Arizona. We offer a 100% company-paid health insurance, 100% paid licensure & DEA, matching 401k, paid vacation & sick time, PLUS dental, vision, life insurance, and bonuses! At MY DR NOW, we provide the opportunity to grow with us and change the way healthcare is delivered.

What MY DR NOW employees say

Pay

Hours and flexibility

Workplace

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